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应用灰色关联评价环境控制区洁净度
引用本文:潘玉榕,吕华东,林玉珍,林坚,林麒. 应用灰色关联评价环境控制区洁净度[J]. 中国卫生工程学, 2005, 4(1): 30-32
作者姓名:潘玉榕  吕华东  林玉珍  林坚  林麒
作者单位:福建省疾病预防控制中心,福州,350001
摘    要:目的 探索环境控制区洁净度的综合评价方法,使各洁净室的检测数据具有科学性和可比性。方法 收集了2001~2004年7月福建省疾病预防控制中心对66家食品厂、制药厂、医疗单位、科研部门的449个洁净室尘埃粒子、沉降菌、浮游菌、风速、噪声、照度、温度、相对湿度、静压差等9项指标的检测数据,应用灰色关联从级别、类型、地区、年份4个方面进行归类分析,据此求得关联度,以评价质量优劣。结果 各级别中10万级最优,制药厂为各类别中最佳,莆田居各地区之冠,各年度中2003年最好。结论 灰色关联是一种较为准确、实用的综合评价方法。

关 键 词:灰色关联 环境控制区 洁净度 综合评价方法
修稿时间:2004-10-13

Assessment of the degree of cleanliness of environment control areas with grey relation
PAN Yu-rong,LU Hua-dong,LIN Yu-zhen,et al Fujian Center for Disease Control and Prevention,Fuzhou ,China. Assessment of the degree of cleanliness of environment control areas with grey relation[J]. Chinese Journal of Public Health Engineering, 2005, 4(1): 30-32
Authors:PAN Yu-rong  LU Hua-dong  LIN Yu-zhen  et al Fujian Center for Disease Control  Prevention  Fuzhou   China
Affiliation:PAN Yu-rong,LU Hua-dong,LIN Yu-zhen,et al Fujian Center for Disease Control and Prevention,Fuzhou 350001,China
Abstract:Objective To explore a method for evaluating the degree of cleanliness of environment control areas and to obtain scientific and comparable experimental data from every clean room Methods Data of nine indexes(airborne particles,settling microbe ,airborne microbe, wind speed, noise, illumination, temperature, relative humidity and static pressure difference) were collected from 449 clean rooms in 66 food industries, pharmaceutical industries, hospitals and research institutes which were tested from 2001 to July of 2004 by Fujian Center for Disease Control and Prevention These data were classified by four aspects of level, category, area and year and analyzed with the method of grey relation.In this way , quality of cleanliness would be assessed Results Hundred thousand level was the best in all levels, pharmaceutical industries were the best in all categories , Putian was the best in all areas and the year of 2003 was the best in all years Conclusion Grey relation is an accurate and practical method for comprehensive evaluation
Keywords:Grey relational analysis Degree of cleanliness Quality assessment
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